{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ノートの例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x11e184f98>]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt                      ### notebook_sample ###\n",
    "plt.plot([1,2,3],[4,5,6])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 数式\n",
    "\n",
    "TeXの数式が使えます。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$y = \\dfrac{\\log x^2}{\\sin z}$"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
